Comprehensive Point Cloud Post-Processing
Making LiDAR Data Manageable
Our flagship software, LiDAR360, provides tools for efficiently visualizing, generating & manipulating LiDAR point clouds. Analyze your data with TB level processing power. This comprehensive solution to post-processing LiDAR point cloud data includes industry specific modules which allows for a better user experience and quicker, more efficient results. The Terrain, ALS Forest, TLS Forest, Strip Alignment & Powerline Modules can be purchased separately or as a complete software suite depending on your company/project needs.
*LiForest 2.1 has now been discontinued. All features have been upgraded and included in ALS/TLS Forestry Modules. LiForest users are encouraged to contact us for information regarding upgrades and maintenance.
The core software includes tools for classification, surface model generation and data management. LiDAR360’s flexibility allows our users to choose relevant modules in order to suit their industry and project needs.
The Strip Alignment toolset allows you to import the POS files for flight paths and extract the corresponding LiDAR points allowing you to align them across different swaths.
The ALS Forest Module allows users to calculate forest metrics including elevation, intensity, canopy cover and more. ALS Forest Module contains regression models and segmentation techniques such as CHM Segmentation & Point Cloud Segmentation.
Our TLS Forest Module includes Gaussian Mixture Model classification and TLS (Terrestrial LiDAR Scan) Point Cloud segmentation. Use these functions to classify ground, leaf and trunk points from a TLS point cloud & segment individual trees from TLS point clouds.
The Terrain Module is a suite of GIS tools for calculating slope, roughness, aspect & contours from surface models. Additionally, it contains tools for repairing surface models, i.e., spikes, holes and extraneous values.
Our most recent LiDAR360 module is the Powerline Module. It allows for automatic detection of powerlines within LiDAR datasets and determines objects deemed too close (Danger Points), namely, vegetation. This automated workflow is summarized in a intuitive project report.